2 User reference: the sift function 1 2.1 Scale space parameters . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 2.2 Detector parameters . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 2.3 Descriptor parameters . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 2.4 Direct access to SIFT components . . . . . . . ....

Selected ion flow tube mass spectrometry, SIFT-MS, a relatively new gas/vapour phase analytical method, is derived from the much earlier selected ion flow tube, SIFT, used for the study of gas phase ion-molecule reactions. Both the SIFT and SIFT-MS techniques were conceived and developed in the UK, the former at Birmingham University, the latter at Keele University along with the complementary ...

This note is devoted to the mathematical arguments proving that Lowe’s Scale-Invariant Feature Transform (SIFT [23]), a very successful image matching method, is indeed similarity invariant. The mathematical proof is given under the assumption that the gaussian smoothing performed by SIFT gives aliasing free sampling. The validity of this main assumption is confirmed by a rigorous experimental ...

In this paper we present a new method to group self-similar SIFT features in images. The aim is to automatically build groups of all SIFT features with the same semantics in an image. To achieve this a new distance between SIFT feature vectors taking into account their orientation and scale is introduced. The methods are presented in the context of recognition of buildings. A first evaluation s...

Bag-of-words model is implemented and tried on 10-class visual concept detection problem. The experimental results show that “DURF+ERT+SVM” outperforms “SIFT+ERT+SVM” both in detection performance and computation efficiency. Besides, combining DURF and SIFT results in even better detection performance. Real-time object detection using SIFT and RANSAC is also tried on simple objects, e.g. drink ...

Kurzfassung. Zur Bestimmung von Bildähnlichkeiten werden häufig charakteristische Punkte berechnet. Ein bewährtes Verfahren zur Extraktion solcher Punkte ist die Scale Invariant Feature Transform (SIFT). Gerade auf medizinischen Grauwertbildern liefert dieses Verfahren aber unbefriedigende Ergebnisse. In dieser Arbeit wird ein neuer Ansatz vorgestellt, mit dem auch strukturelle Informationen üb...

Natural Image Mosaicing based on Redundant Keypoint Elimination Method in SIFT algorithm and Adaptive RANSAC method

This study proposes augmented reality as a tool to access Internet information from mobile devices and prototypes for markerless outdoor augmented reality application based on SIFT (Scale Invariant Feature Transform) features are implemented. They comprise a reference data set of SIFT points extracted from images of the square Place des Terreaux in Lyons. These SIFT features are projected on a ...